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Sohagpur
City in Madhya Pradesh, India
Overview
Sohagpur is a tranquil town in central India, known for its close proximity to Satpura forests and friendly local vibe. Its compact size makes it easy to explore, with traditional markets and cultural heritage dispersed throughout its neighborhoods.
Geographic Context
Jurisdiction
India
State
Madhya Pradesh
Population
25,040
Time Zone
Asia/Kolkata
Coordinates
22.70°, 78.20°
Key Metrics
Safety Score · estimate
56
Female Safety
42
LGBTQ+ Safety
28
Traffic Safety
45
Food Safety
47
Monthly Cost · estimate
$310
Local Cost
$128
Local Income
$90
Cashless
31
English
24
Temperature
25.8°C
Summer Avg
27.8°C
Winter Avg
20.4°C
Record High
46.5°C
Record Low
4.1°C
Humidity
53%
Precipitation
1339 mm
Internet Speed
228 Mbps
Upload
18 Mbps
Latency
45 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 54/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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